Physical AI

Embodied intelligence for perception, learning, reasoning, and manipulation.

All research areas

Perception · Learning · Manipulation

We develop embodied intelligence that combines perception, learning, and reasoning to understand physical interactions, adapt to changing environments, and perform complex manipulation tasks.

Projects

Ongoing research platforms and integrated systems.

Project

Whole-Arm Physical Intelligence

Enabling robots to sense, understand, and use contact across their entire arms.

View Project

Project

Spatio-Temporal Embodied Intelligence

Understanding space, time, and interaction for embodied intelligence.

View Project

Publications

Selected research presented through papers, experiments, and demonstrations.

2026

  1. T-RO
    multi-contact-TRO.gif
    Mixture of Flow Matching and Particle Filter for Proprioception-based Online Contact Estimation
    Seo Wook Han and Min Jun Kim
    IEEE Transactions on Robotics (T-RO), 2026
    Accepted
  2. CoRL
    SCDP.gif
    Spatially Conditioned Diffusion Policy: Learning Precise and Robust Manipulation with a Single RGB Camera
    Seoyoon Kim*, Kanghyun Kim*, Dongwoo Ko, Yeong Jin Heo, and Min Jun Kim
    Conference on Robot Learning (CoRL), 2026
    Accepted

2025

  1. ICML
    enhancing.png
    Enhancing Rating-Based Reinforcement Learning to Effectively Leverage Feedback from Large Vision-Language Models
    Tung Minh Luu, Younghwan Lee, Donghoon Lee, Sunho Kim, Min Jun Kim, and Chang D. Yoo
    International Conference on Machine Learning (ICML), 2025
  2. ICRA
    cdm.gif
    CDM: Contact Diffusion Model for Multi-Contact Point Localization
    Seo Wook Han and Min Jun Kim
    IEEE International Conference on Robotics and Automation (ICRA), 2025

2024

  1. arXiv
    split.gif
    SPLIT: SE(3)-diffusion via Local Geometry-based Score Prediction for 3D Scene-to-Pose-Set Matching Problems
    Kanghyun Kim and Min Jun Kim
    arXiv preprint, 2024
  2. ICRA
    graph.gif
    Graph-Based 3D Collision-Distance Estimation Network with Probabilistic Graph Rewiring
    Minjae Song, Yeseung Kim, Min Jun Kim, and Daehyung Park
    IEEE International Conference on Robotics and Automation (ICRA), 2024

2023

  1. ICRA
    TAMP.gif
    A Reachability Tree-Based Algorithm for Robot Task and Motion Planning
    Kanghyun Kim, Daehyung Park, and Min Jun Kim
    IEEE International Conference on Robotics and Automation (ICRA), 2023
  2. ICRA
    proprioceptive.gif
    Proprioceptive Sensor-Based Simultaneous Multi-Contact Point Localization and Force Identification for Robotic Arms
    Seo Wook Han and Min Jun Kim
    IEEE International Conference on Robotics and Automation (ICRA), 2023

2020

  1. ICRA
    visual.gif
    Visual-Inertial Telepresence for Aerial Manipulation
    Jongseok Lee, Ribin Balachandran, Yuri S. Sarkisov, Marco De Stefano, Andre Coelho, Kashmira Shinde, Min Jun Kim, Rudolph Triebel, and Konstantin Kondak
    IEEE International Conference on Robotics and Automation (ICRA), 2020